At a Glance
- Tasks: Design and optimise scalable data pipelines on Google Cloud.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting career advancement opportunities in a fast-paced tech landscape.
- Why this job: Make an impact by building high-performance data solutions in a dynamic environment.
- Qualifications: Strong expertise in SQL, Python, and cloud-native data engineering.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly skilled Senior Data Engineer – Google Cloud Platform (GCP) to design, build, and optimise scalable, secure, and high-performance data pipelines and analytics platforms on Google Cloud. This is a hands-on engineering role requiring strong expertise in cloud-native data engineering, distributed processing, analytics platforms, and modern CI/CD practices.
You will partner closely with product teams, analysts, platform engineers, and architects to translate business requirements into reliable, production-grade data solutions—while driving best practices in automation, data quality, observability, performance tuning, and cost optimisation.
Are you a hands-on Data Engineer who loves building scalable, secure, high-performance data platforms on Google Cloud? We’re looking for a Senior Data Engineer to design and optimise batch + streaming pipelines, enable analytics, and drive best practices across data engineering and CI/CD.
- Model and optimise BigQuery (partitioning, clustering, cost & performance)
- Deliver ELT with dbt (models, incremental loads, testing, documentation/lineage)
- Implement CI/CD for data workloads + Terraform IaC
- Improve data quality, monitoring, alerting, reliability and operational runbooks
- Strong SQL + Python (Spark/Java a plus)
- dbt for BigQuery + testing/data quality
- Professional Data Engineer / Cloud Architect
- IBM DataStage (or similar ETL)
Senior Data Engineer - Google Cloud Platform (GCP) in London employer: HCLTech
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer on Google Cloud Platform, you will have the opportunity to work with cutting-edge technology in a dynamic environment. Our culture promotes continuous learning and professional growth, offering robust training programmes and mentorship opportunities to help you excel in your career. Located in a vibrant tech hub, we provide a supportive atmosphere that encourages creativity and teamwork, making it an ideal place for passionate data engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Google Cloud Platform (GCP) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Google Cloud. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable data pipelines and analytics platforms. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your experience with CI/CD and tools like dbt and Terraform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - Google Cloud Platform (GCP) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Google Cloud and data engineering. We want to see how you've designed and optimised data pipelines, so don’t hold back on those details!
Showcase Your Skills:When writing your application, emphasise your expertise in SQL, Python, and dbt. We’re looking for hands-on experience, so share specific projects or achievements that demonstrate your skills.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior Data Engineer role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at HCLTech
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss how you've designed and optimised data pipelines in the past, especially using BigQuery. Familiarise yourself with partitioning, clustering, and cost optimisation techniques, as these are crucial for the role.
✨Showcase Your Hands-On Experience
This is a hands-on role, so be prepared to share specific examples of your work with batch and streaming pipelines. Talk about your experience with dbt for ELT processes and how you've implemented CI/CD practices in your previous projects. Real-world examples will make you stand out!
✨Emphasise Collaboration Skills
Since you'll be partnering with various teams, highlight your ability to work collaboratively. Discuss how you've translated business requirements into data solutions and driven best practices in automation and data quality. Teamwork is key, so show them you're a team player!
✨Prepare for Technical Questions
Expect technical questions that test your SQL and Python skills, as well as your understanding of distributed processing and analytics platforms. Brush up on Spark and Java if you have experience with them. Practising coding challenges or mock interviews can help you feel more confident.
